Filtered By:
Specialty: Biomedical Science
Education: Learning

This page shows you your search results in order of relevance.

Order by Relevance | Date

Total 34 results found since Jan 2013.

Quality Improvement in Acute Ischemic Stroke Care in Taiwan: The Breakthrough Collaborative in Stroke
by Fang-I Hsieh, Jiann-Shing Jeng, Chang-Ming Chern, Tsong-Hai Lee, Sung-Chun Tang, Li-Kai Tsai, Hsun-Hsiang Liao, Hang Chang, Kenneth A. LaBresh, Hung-Jung Lin, Hung-Yi Chiou, Hou-Chang Chiu, Li-Ming Lien, for the BTS-Stroke Investigators In the management of acute ischemic stroke, guideline adherence is often suboptimal, particularly for intravenous thrombolysis or anticoagulation for atrial fibrillation. We sought to improve stroke care quality via a collaborative model, the Breakthrough Series (BTS)-Stroke activity, in a nationw ide, multi-center activity in Taiwan. A BTS Collaborative, a short-term learning system fo...
Source: PLoS One - August 2, 2016 Category: Biomedical Science Authors: Fang-I Hsieh Source Type: research

Vascular Risk Factors and Diseases Modulate Deficits of Reward-Based Reversal Learning in Acute Basal Ganglia Stroke
Conclusions The previously reported impairment of reward-based learning may be attributed to vascular risk factors and associated diseases, which are enriched in stroke patients. This study emphasizes the necessity of appropriate control subjects in cognition studies.
Source: PLoS One - May 9, 2016 Category: Biomedical Science Authors: Ulla K. Seidel Source Type: research

Robotic treatment of the upper limb in chronic stroke and cerebral neuroplasticity: a systematic review.
Authors: Bressi F, Bravi M, Campagnola B, Bruno D, Marzolla A, Santacaterina F, Miccinilli S, Sterzi S Abstract Stroke is the second cause of mortality and the third cause of long-term disability worldwide. Deficits in upper limb (UL) capacity persist at 6 months post-stroke in 30-66% of hemiplegic stroke patients with major limitations in activity of daily living (ADL), thus making the recovery of paretic UL function the main rehabilitation goal. Robotic rehabilitation plays a crucial role since it allows to perform a repetitive, intensive, and task-oriented treatment, adaptable to the patients' residual abilities...
Source: Journal of Biological Regulators and Homeostatic Agents - January 4, 2021 Category: Biomedical Science Tags: J Biol Regul Homeost Agents Source Type: research

Effect of alteplase, benzodiazepines and beta-blocker on post-stroke pneumonia: Exploration of VISTA-Acute
by Thanh G. Phan, Richard Beare, Philip M. Bath, Svitlana Ievlieva, Stella Ho, John Ly, Amanda G. Thrift, Velandai K. Srikanth, Henry Ma, on behalf of the VISTA-Acute Collaborators BackgroundPost-stroke pneumonia is a frequent complication of stroke and is associated with high mortality. Investigators have described its associations with beta-blocker. However, there has been no evaluation of the role of recombinant tissue plasminogen activator (RTPA). We postulate that RTPA may modify the effect of stroke on pneumonia by reducing stroke disability. We explore this using data from neuroprotection trials in Virtual Internati...
Source: PLoS One - May 1, 2023 Category: Biomedical Science Authors: Thanh G. Phan Source Type: research

Reports Ipsilesional anodal tDCS enhances the functional benefits of rehabilitation in patients after stroke
Anodal transcranial direct current stimulation (tDCS) can boost the effects of motor training and facilitate plasticity in the healthy human brain. Motor rehabilitation depends on learning and plasticity, and motor learning can occur after stroke. We tested whether brain stimulation using anodal tDCS added to motor training could improve rehabilitation outcomes in patients after stroke. We performed a randomized, controlled trial in 24 patients at least 6 months after a first unilateral stroke not directly involving the primary motor cortex. Patients received either anodal tDCS (n = 11) or sham treatment (n = 13) paired wi...
Source: Science Translational Medicine - March 16, 2016 Category: Biomedical Science Authors: Allman, C., Amadi, U., Winkler, A. M., Wilkins, L., Filippini, N., Kischka, U., Stagg, C. J., Johansen-Berg, H. Tags: Reports Source Type: research

Upper Extremity Functional Evaluation by Fugl-Meyer Assessment Scoring Using Depth-Sensing Camera in Hemiplegic Stroke Patients
by Won-Seok Kim, Sungmin Cho, Dongyoub Baek, Hyunwoo Bang, Nam-Jong Paik Virtual home-based rehabilitation is an emerging area in stroke rehabilitation. Functional assessment tools are essential to monitor recovery and provide current function-based rehabilitation. We developed the Fugl-Meyer Assessment (FMA) tool using Kinect (Microsoft, USA) and validated it for hemiplegic stroke patients. Forty-one patients with hemiplegic stroke were enrolled. Thirteen of 33 items were selected for upper extremity motor FMA. One occupational therapist assessed the motor FMA while recording upper extremity motion with Kinect. FMA score...
Source: PLoS One - June 30, 2016 Category: Biomedical Science Authors: Won-Seok Kim Source Type: research

Analysis of Balance during Functional Walking in Stroke Survivors
DiscussionWe developed and demonstrated a method to assess walking balance of stroke survivors. System design and evaluation methods allow balance evaluation during functional walking in daily life. Some presented metrics show correlations with BBS scores. Clear inter- and intra-patient variations in metric values are present that cannot be explained by BBS scores, which supports the additional value of the presented system. Presented methods may be used for objective evaluation of restitution and compensation of walking balance and have a potential application in individual evidence-based therapy.
Source: PLoS One - November 16, 2016 Category: Biomedical Science Authors: Fokke B. van Meulen Source Type: research

Shaping innovations in long-term care for stroke survivors with multimorbidity through stakeholder engagement
ConclusionsStakeholder engagement to identify data-driven solutions is feasible but requires resources. While a number of potential interventions were identified, the final choice rested not just on stakeholder priorities but also on data availability. Further work is required to evaluate the impact and implementation of data-driven interventions for long-term stroke survivors.
Source: PLoS One - May 5, 2017 Category: Biomedical Science Authors: Euan Sadler Source Type: research

Development and validation of a nomogram for predicting stroke risk in rheumatoid arthritis patients
In conclusion, the nomogram can be used for individualized preoperative prediction of stroke risk in RA patients.PMID:34081620 | DOI:10.18632/aging.203071
Source: Aging - June 3, 2021 Category: Biomedical Science Authors: Fangran Xin Lingyu Fu Bowen Yang Haina Liu Tingting Wei Cunlu Zou Bingqing Bai Source Type: research

A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke
ConclusionsAddressing physical capacity isnecessary but not sufficient to achieve important step thresholds, asancillary characteristics, such as readiness to change activity behavior and physical health may also need to be targeted. This delineation may explain heterogeneity across studies examining predictors of stepping activity in stroke.
Source: PLoS One - June 17, 2022 Category: Biomedical Science Authors: Allison E. Miller Source Type: research

Improvement of predictive accuracies of functional outcomes after subacute stroke inpatient rehabilitation by machine learning models
ConclusionsThis study suggested that the machine learning models outperformed SLR for predicting FIM prognosis. The machine learning models used only patients ’ background characteristics and FIM scores at admission and more accurately predicted FIM gain than previous studies. ANN, SVR, and GPR outperformed RT and EL. GPR could have the best predictive accuracy for FIM prognosis.
Source: PLoS One - May 26, 2023 Category: Biomedical Science Authors: Yuta Miyazaki Source Type: research

Could be the Predominantly-Used Hemibody Related to the Weight Bearing Distribution Modified by the Chronic Hemiparesis After Stroke?
Since the first Broca publications issued from 1970s, lateralized functions in the human brain have urged the researchers to postulate hypothesis based in the right-left asymmetries and, according to some theories, the lateralization of the voluntary motor control could represent a solution to avoid redundant process optimizing space and time. Supported by this idea, the clinicians and researchers tend to concept that the chronic hemiplegic stroke patients learn to use predominantly the non-affected hemibody after stroke in which is more convenient to execute their daily life activities, modifying their natural preference in some cases.
Source: Medical Hypotheses - August 17, 2015 Category: Biomedical Science Authors: Anderson Castro Mundim, Clarissa Cardoso dos Santos Couto Paz, Emerson Fachin-Martins Source Type: research

Optimal level activity of matrix metalloproteinases is critical for adult visual plasticity in the healthy and stroke-affected brain
The ability of the adult brain to undergo plastic changes is of particular interest in medicine, especially regarding recovery from injuries or improving learning and cognition. Matrix metalloproteinases (MMPs) have been associated with juvenile experience-dependent primary visual cortex (V1) plasticity, yet little is known about their role in this process in the adult V1. Activation of MMPs is a crucial step facilitating structural changes in a healthy brain; however, upon brain injury, upregulated MMPs promote the spread of a lesion and impair recovery. To clarify these seemingly opposing outcomes of MMP-activation, we e...
Source: eLife - January 6, 2016 Category: Biomedical Science Authors: Pielecka-Fortuna, J., Kalogeraki, E., Fortuna, M. G., Löwel, S., Sengpiel, F. Tags: Neuroscience Source Type: research

Research Articles A multidirectional gravity-assist algorithm that enhances locomotor control in patients with stroke or spinal cord injury
Gait recovery after neurological disorders requires remastering the interplay between body mechanics and gravitational forces. Despite the importance of gravity-dependent gait interactions and active participation for promoting this learning, these essential components of gait rehabilitation have received comparatively little attention. To address these issues, we developed an adaptive algorithm that personalizes multidirectional forces applied to the trunk based on patient-specific motor deficits. Implementation of this algorithm in a robotic interface reestablished gait dynamics during highly participative locomotion wit...
Source: Science Translational Medicine - July 19, 2017 Category: Biomedical Science Authors: Mignardot, J.-B., Le Goff, C. G., van den Brand, R., Capogrosso, M., Fumeaux, N., Vallery, H., Anil, S., Lanini, J., Fodor, I., Eberle, G., Ijspeert, A., Schurch, B., Curt, A., Carda, S., Bloch, J., von Zitzewitz, J., Courtine, G. Tags: Research Articles Source Type: research

Identification of key predictors of hospital mortality in critically ill patients with embolic stroke using machine learning
This study aimed to use machine learning (ML) to identify the key predictors of mortality for ES patients in the intensive care unit (ICU). Data were extracted from two large ICU databases: MIMIC-IV for training and internal validation, and eICU-CRD for external validation. We developed predictive models of ES mortality based on 15 ML algorithms. We relied on the synthetic minority oversampling technique (SMOTE) to address class imbalance. Our main performance metric was area under the ROC (AUROC). We adopted recursive feature elimination (RFE) for feature selection. We assessed model performance using three disease-severi...
Source: Bioscience Reports - August 22, 2022 Category: Biomedical Science Authors: Wei Liu Wei Ma Na Bai Chun-Yan Li Kuangpin Liu Jinwei Yang Sijia Zhang Kewei Zhu Qiang Zhou Hua Liu Jianhui Guo Liyan Li Source Type: research